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Proceedings Paper

Real-time computed tomography on the cell broadband engine processor
Author(s): Olivier Bockenbach; Michael Knaup; Marc Kachelriess
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Paper Abstract

Tomographic image reconstruction is computationally very demanding. In all cases the backprojection represents the performance bottleneck due to the high operational count and resulting high demand put on the memory subsystem. In this study, we present the implementation of a cone beam reconstruction algorithm on the Cell Broadband Engine (CBE) processor aimed at real-time applications. The cone-beam backprojection performance was assessed by backprojecting a half-circle scan of 512 projections of 10242 pixels into a volume of size 5123 voxels. The projections are acquired on a C-Arm scanner and directed in real time to a CBE-based platform for real-time reconstruction. The acquisition speed typically ranges between 17 and 35 projections per second. On a CBE processor clocked at 3.2 GHz, our implementation performs this task in ~13 seconds, allowing for real time reconstruction.

Paper Details

Date Published: 1 March 2008
PDF: 7 pages
Proc. SPIE 6812, Image Processing: Algorithms and Systems VI, 68120E (1 March 2008); doi: 10.1117/12.766265
Show Author Affiliations
Olivier Bockenbach, Mercury Computer Systems Inc. (United States)
Michael Knaup, Institute of Medical Physics (Germany)
Marc Kachelriess, Institute of Medical Physics (Germany)

Published in SPIE Proceedings Vol. 6812:
Image Processing: Algorithms and Systems VI
Jaakko T. Astola; Karen O. Egiazarian; Edward R. Dougherty, Editor(s)

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